This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering research and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers' abilities to lead the development of new CI; and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses for advancing fundamental research. Pilot and Implementation projects may target one or both of the solicitation goals, while Large-scale Project Conceptualization projects must address both goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental research.

Computing systems have undergone a fundamental transformation from the single-core processor-devices of the turn of the century to today's ubiquitous and networked devices with multi-core/many-core processors along with warehouse-scale computing via the cloud. At the same time, semiconductor technology is facing fundamental physical limits and single-processor performance has plateaued. This means that the ability to achieve performance improvements through improved processor technologies alone has ended. In recognition of this obstacle, the recent National Strategic Computing Initiative (NSCI) encourages collaborative efforts to develop, "over the next 15 years, a viable path forward for future high-performance computing (HPC) systems even after the limits of current semiconductor technology are reached (the 'post-Moore's Law era')."

Increasingly, data- and compute-intensive research and education efforts are benefiting from access to cloud computing platforms, which provide robust, agile, reliable, and scalable infrastructure. To better support this growing use of cloud computing resources, the National Science Foundation's (NSF) Directorate for Computer and Information Science and Engineering (CISE) seeks to fund an entity that can serve as a principal interface between the CISE research and education community and public cloud computing providers. Through this solicitation, NSF will support an entity that will have multiple responsibilities, including: 1) establishing partnerships with the various public cloud computing providers; 2) assisting NSF in allocating cloud computing resources to qualifying CISE-funded projects; 3) managing cloud computing accounts and resources allocated to individual CISE projects; 4) providing user training and other support to CISE researchers and educators using cloud computing in their work; and 5) providing strategic technical guidance for CISE researchers and educators interested in using public cloud computing platforms.

The principle purpose of this cooperative agreement is to support the use of the best available science, combined with engaging broad public partners, to inform the public, stakeholders, and the BLM on best management practices (BMPs) for implementing adaptive management techniques on public lands. Focus areas of the project include collecting and analyzing rangeland health and upland vegetation treatments data and providing outreach stakeholders on status and trends of resources and effectiveness of restoration efforts and BMPs on the management of working landscapes. Data collected from this cooperative agreement will be available to the public.

The HPEM Modeling & Effects research and development effort consists of the following areas: understanding the connectivity of infrastructure and mobile targets; understanding the phenomenology of front door effects; developing a predictive effects model; developing a theoretical and empirical basis for HPEM effects ranging from the basic circuit level to the system level effects; empirical effects testing on operational targets as a function of frequency, pulsed duration, and power of the incident HPEM pulse; battle damage assessment; rapid modeling of HPEM system sources and components; improving particle-in-cell code (PIC) capabilities; first principles materials modeling; improving models for electron emission, gas desorption to enhance the predictive capability of virtual prototyping; and developing electromagnetic (EM) algorithms to propagate radio frequency (RF) from platform-specific high power RF systems to targets to assess the performance measures of effective HPEM sources. Sound software engineering and development principles must be employed for all developed software and documentation. Robust software testing, validation, and verification are critical to software development efforts. As appropriate, software must scale to large simulation sizes and be portable to massively parallel computer architecture.

The goal of the National Robotics Initiative (NRI) is to support fundamental research that will accelerate the development and use of robots in the United States that work beside or cooperatively with people. The original NRI program focused on innovative robotics research that emphasized the realization of collaborative robots (co-robots) working in symbiotic relationships with human partners. The NRI-2.0 program significantly extends this theme to focus on issues of scalability: how teams of multiple robots and multiple humans can interact and collaborate effectively; how robots can be designed to facilitate achievement of a variety of tasks in a variety of environments, with minimal modification to the hardware and software; how robots can learn to perform more effectively and efficiently, using large pools of information from the cloud, other robots, and other people; and how the design of the robots’ hardware and software can facilitate large-scale, reliable operation

The Office of Science (SC) of the Department of Energy hereby announces its continuing interest in receiving grant applications for support of work in the following program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, and Nuclear Physics.

The Office of Science (SC) of the Department of Energy hereby announces its continuing interest in receiving grant applications for support of work in the following program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, and Nuclear Physics.

Algorithms in the Field encourages closer collaboration between two groups of researchers: (i) theoretical computer science researchers, who focus on the design and analysis of provably efficient and provably accurate algorithms for various computational models; and (ii) other computing and information researchers including a combination of systems and domain experts (very broadly construed - including but not limited to researchers in computer architecture, programming languages and systems, computer networks, cyber-physical systems, cyber-human systems, machine learning, artificial intelligence and its applications, database and data analytics, etc.) who focus on the particular design constraints of applications and/or computing devices. Each proposal must have at least one co-PI interested in theoretical computer science and one interested in any of the other areas typically supported by CISE. Proposals are expected to address the dissemination of both the algorithmic contributions and the resulting applications, tools, languages, compilers, libraries, architectures, systems, data, etc.

Algorithms in the Field encourages closer collaboration between two groups of researchers: (i) theoretical computer science researchers, who focus on the design and analysis of provably efficient and provably accurate algorithms for various computational models; and (ii) other computing and information researchers including a combination of systems and domain experts (very broadly construed - including but not limited to researchers in computer architecture, programming languages and systems, computer networks, cyber-physical systems, cyber-human systems, machine learning, artificial intelligence and its applications, database and data analytics, etc.) who focus on the particular design constraints of applications and/or computing devices. Each proposal must have at least one co-PI interested in theoretical computer science and one interested in any of the other areas typically supported by CISE. Proposals are expected to address the dissemination of both the algorithmic contributions and the resulting applications, tools, languages, compilers, libraries, architectures, systems, data, etc.

The Graduate Research Fellowship in Science, Technology, Engineering, and Mathematics (GRF-STEM) provides awards to accredited academic institutions to support graduate research leading to doctoral degrees in topic areas that are relevant to ensuring public safety, preventing and controlling crime, and ensuring the fair and impartial administration of criminal justice in the United States. Applicant academic institutions sponsoring doctoral students are eligible to apply only if the doctoral student's degree program is a Science, Technology, Engineering, or Mathematics (STEM) discipline; and the student's proposed dissertation research has demonstrable implications for addressing the challenges of crime and/or the fair and impartial administration of criminal justice in the United States. Awards are anticipated to be made to successful applicant institutions in the form of grants to cover fellowships for the sponsored doctoral students. Although the initial award is only for 1 year of funding, each fellowship potentially provides up to 3 years of support usable over a 5-year period, pending NIJ review of continued enrollment and adequate progress. For each year of support, NIJ provides the degree-granting institution a stipend of $35,000 usable toward the student's salary and related costs, and up to $15,000 to cover the student's tuition and fees, research expenses, and related costs.

The NIGMS Postdoctoral Research Associate (PRAT) Programs overarching goal is to provide high quality postdoctoral research training in the basic biomedical sciences, in NIH intramural research laboratories, to a diverse group of postdoctoral fellows to prepare them for leadership positions in biomedical careers. The research projects proposed should focus on NIGMS mission-related areas of basic biomedical science. These include cell biology, biophysics, genetics, developmental biology, pharmacology, physiology, biological chemistry, computational biology, technology development and bioinformatics. Studies employing model organisms are encouraged

The Best Buy foundation is seeking applications from nonprofit organizations for programs that provide youth with access to new technologies that help them become fluent in digital learning while developing the skills they need for future education and career success. Grants of up to $200,000 will be awarded for programs that utilize technology such as computers, digital cameras, video cameras, and professional software in a wide range of areas, including audio production (music mixing and recording), coding/3D printing, computer maintenance and repair, digital photography/graphic design filmmaking and videography, maker-faires and hack-a-thons, mobile and game app development, programming, robotics, and/ or website design.
To be eligible, applicants must be a nonprofit organization with an existing out-of-school time program and a proven track record of serving youth between the ages of 13 and 18 in underserved communities. In addition, programs must operate within twenty-five miles of a Best Buy store or other Best Buy center of operation; have a commitment to diversity and inclusion; a willingness to integrate Geek Squad Academy curriculum into existing programming (if appropriate); and have the ability to conduct programming in multiple targeted sites across the country.

The Best Buy foundation is seeking applications from nonprofit organizations for programs that provide youth with access to new technologies that help them become fluent in digital learning while developing the skills they need for future education and career success. Grants of up to $200,000 will be awarded for programs that utilize technology such as computers, digital cameras, video cameras, and professional software in a wide range of areas, including audio production (music mixing and recording), coding/3D printing, computer maintenance and repair, digital photography/graphic design filmmaking and videography, maker-faires and hack-a-thons, mobile and game app development, programming, robotics, and/ or website design.
To be eligible, applicants must be a nonprofit organization with an existing out-of-school time program and a proven track record of serving youth between the ages of 13 and 18 in underserved communities. In addition, programs must operate within twenty-five miles of a Best Buy store or other Best Buy center of operation; have a commitment to diversity and inclusion; a willingness to integrate Geek Squad Academy curriculum into existing programming (if appropriate); and have the ability to conduct programming in multiple targeted sites across the country.

The objective of the Integrated Demonstration and Applications Laboratory (IDAL) Research Program (IDARP) is to conduct leading-edge system of systems spectrum warfare applications/advanced technology development. Research will be conducted utilizing a multispectral synthetic battlespace simulation to integrate sensor/EW technologies, identify/resolve technology issues/risks, demonstrate technology applications/benefits and perform rapid technology insertions/transitions.

The objective of the Integrated Demonstration and Applications Laboratory (IDAL) Research Program (IDARP) is to conduct leading-edge system of systems spectrum warfare applications/advanced technology development. Research will be conducted utilizing a multispectral synthetic battlespace simulation to integrate sensor/EW technologies, identify/resolve technology issues/risks, demonstrate technology applications/benefits and perform rapid technology insertions/transitions.

Achieving EarthCube will requirea long-term dialog between NSF and the interested scientific communities to develop cyberinfrastructure that is thoughtfully and systematically built to meet the current and future requirements of geoscientists. New avenues will be supported to gather community requirements and priorities for the elements of EarthCube, and to capture the best technologies to meet these current and future needs. The EarthCube portfolio will consist of interconnected projects and activities that engage the geosciences, cyberinfrastructure, computer science, and associated communities. The portfolio of activities and funding opportunities will evolve over time depending on the status of the EarthCube effort and the scientific and cultural needs of the geosciences community.

The Office of Naval Research (ONR) is interested in receiving proposals for real-time full spectrum cybersecurity Science and Technology (S&T) Projects which offer potential for advancement and improvement of Navy and Marine Corps operations.

The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, geosciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science

Program supports two main types of research: (i) innovations in general-purpose methodology related to optimization, stochastic modeling, and decision and game theory; and (ii) research grounded in relevant applications that require the development of novel and customized analytical and computational methodologies. Both types of proposals must be motivated by an application area of interest to the program. Application areas of interest include supply chains and logistics; risk management; healthcare; environment; energy production and distribution; mechanism design and incentives; production planning, maintenance, and quality control; and national security

This program supports theoretical and computational materials research and education in the topical areas represented in DMR programs, including condensed matter physics, polymers, solid-state and materials chemistry, metals and nanostructures, electronic and photonicmaterials, ceramics, and biomaterials. The program supports fundamental research that advances conceptual, analytical, and computational techniques for materials research.

Northrop Grumman is seeking advanced algorithms or other computer learning techniques that have the potential to improve future Electronic Warfare (EW) systems. The ambient RF environment experienced by EW systems is filled with signals from a diversity of radiating sources. To an EW system the multitude of signals are effectively summed together and appear to the processor as simultaneous or near simultaneous signals. EW processing consists of routines designed to identify and sort known signals into their constituent parts.

The Exploiting Parallelism and Scalability (XPS) program aims to support groundbreaking research leading to a new era of parallel computing. Achieving the needed breakthroughs will require a collaborative effort among researchers representing all areas -- from services and applications down to the micro-architecture - and will be built on new concepts, theories, and foundational principles. New approaches to achieving scalable performance and usability need new abstract models and algorithms, new programming models and languages, and new hardware architectures, compilers, operating systems and run-time systems, and must exploit domain and application-specific knowledge. Research is also needed on energy efficiency, communication efficiency, and on enabling the division of effort between edge devices and clouds.